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Deep Recurrent Q-Learning for Partially Observable MDPs

Deep Recurrent Q-Learning for Partially Observable MDPs

23 July 2015
Matthew J. Hausknecht
Peter Stone
ArXivPDFHTML

Papers citing "Deep Recurrent Q-Learning for Partially Observable MDPs"

34 / 634 papers shown
Title
Virtual-to-real Deep Reinforcement Learning: Continuous Control of
  Mobile Robots for Mapless Navigation
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
L. Tai
Giuseppe Paolo
Ming-Yu Liu
17
701
0
01 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
117
595
0
28 Feb 2017
Neural Map: Structured Memory for Deep Reinforcement Learning
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto
Ruslan Salakhutdinov
16
257
0
27 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Reinforcement Learning via Recurrent Convolutional Neural Networks
Reinforcement Learning via Recurrent Convolutional Neural Networks
Tanmay Shankar
S. K. Dwivedy
Prithwijit Guha
SSL
9
20
0
09 Jan 2017
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming-Yu Liu
Joschka Boedecker
Wolfram Burgard
OffRL
6
78
0
21 Dec 2016
Sample-efficient Deep Reinforcement Learning for Dialog Control
Sample-efficient Deep Reinforcement Learning for Dialog Control
Kavosh Asadi
Jason D. Williams
18
21
0
18 Dec 2016
Learning to predict where to look in interactive environments using deep
  recurrent q-learning
Learning to predict where to look in interactive environments using deep recurrent q-learning
Seyed Sajad Mousavi
Michael Schukat
Enda Howley
Ali Borji
N. Mozayani
8
30
0
17 Dec 2016
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
14
175
0
13 Dec 2016
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Shehroze Bhatti
Alban Desmaison
O. Mikšík
Nantas Nardelli
N. Siddharth
Philip H. S. Torr
OffRL
27
69
0
01 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
29
26
0
28 Nov 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
14
873
0
11 Nov 2016
Learning to Play Guess Who? and Inventing a Grounded Language as a
  Consequence
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Emilio Jorge
Mikael Kågebäck
Fredrik D. Johansson
E. Gustavsson
24
67
0
10 Nov 2016
Deep Reinforcement Learning From Raw Pixels in Doom
Deep Reinforcement Learning From Raw Pixels in Doom
Danijar Hafner
13
5
0
07 Oct 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for
  Mobile Robots
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming-Yu Liu
13
103
0
06 Oct 2016
Opponent Modeling in Deep Reinforcement Learning
Opponent Modeling in Deep Reinforcement Learning
He He
Jordan L. Boyd-Graber
Kevin Kwok
Hal Daumé III
BDL
21
324
0
18 Sep 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
17
583
0
18 Sep 2016
Partially Observable Markov Decision Process for Recommender Systems
Partially Observable Markov Decision Process for Recommender Systems
Zhongqi Lu
Qiang Yang
14
27
0
28 Aug 2016
Perceptual Reward Functions
Perceptual Reward Functions
Ashley D. Edwards
Charles Isbell
A. Takanishi
XAI
25
17
0
12 Aug 2016
Deep Reinforcement Learning With Macro-Actions
Deep Reinforcement Learning With Macro-Actions
Ishan Durugkar
Clemens Rosenbaum
S. Dernbach
Sridhar Mahadevan
9
23
0
15 Jun 2016
Towards End-to-End Learning for Dialog State Tracking and Management
  using Deep Reinforcement Learning
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
Tiancheng Zhao
M. Eskénazi
23
264
0
08 Jun 2016
Deep Reinforcement Learning Radio Control and Signal Detection with
  KeRLym, a Gym RL Agent
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent
Tim O'Shea
T. Clancy
16
19
0
30 May 2016
Predicting Personal Traits from Facial Images using Convolutional Neural
  Networks Augmented with Facial Landmark Information
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information
Yoad Lewenberg
Valliappa Chockalingam
Satinder Singh
Honglak Lee
CVBM
11
303
0
29 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
41
1,593
0
21 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
16
1,125
0
20 Apr 2016
Easy Monotonic Policy Iteration
Easy Monotonic Policy Iteration
Joshua Achiam
OffRL
11
0
0
29 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
13
147
0
08 Feb 2016
Memory-based control with recurrent neural networks
Memory-based control with recurrent neural networks
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
13
301
0
14 Dec 2015
How to Discount Deep Reinforcement Learning: Towards New Dynamic
  Strategies
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
Vincent François-Lavet
R. Fonteneau
D. Ernst
11
110
0
07 Dec 2015
Deep Attention Recurrent Q-Network
Deep Attention Recurrent Q-Network
Ivan Sorokin
Alexey Seleznev
Mikhail Pavlov
A. Fedorov
Anastasiia Ignateva
15
150
0
05 Dec 2015
State of the Art Control of Atari Games Using Shallow Reinforcement
  Learning
State of the Art Control of Atari Games Using Shallow Reinforcement Learning
Yitao Liang
Marlos C. Machado
Erik Talvitie
Michael Bowling
13
113
0
04 Dec 2015
Deep Reinforcement Learning in Parameterized Action Space
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
19
307
0
13 Nov 2015
Generating Text with Deep Reinforcement Learning
Generating Text with Deep Reinforcement Learning
Hongyu Guo
AIMat
15
50
0
30 Oct 2015
Recurrent Reinforcement Learning: A Hybrid Approach
Recurrent Reinforcement Learning: A Hybrid Approach
Xiujun Li
Lihong Li
Jianfeng Gao
Xiaodong He
Jianshu Chen
Li Deng
Ji He
OffRL
4
77
0
10 Sep 2015
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